Prediction Model for Massive Transfusion in Placenta Previa during Cesarean Section
10.3349/ymj.2020.61.2.154
- Author:
Jieun KANG
1
;
Hye Sim KIM
;
Eun Bi LEE
;
Young UH
;
Kyoung Hee HAN
;
Eun Young PARK
;
Hyang Ah LEE
;
Dae Ryong KANG
;
In Bai CHUNG
;
Seong Jin CHOI
Author Information
1. Department of Obstetrics and Gynecology, Yonsei University Wonju College of Medicine, Wonju, Korea. choisj@yonsei.ac.kr
- Publication Type:Original Article
- Keywords:
Blood transfusion;
cesarean section;
placenta previa;
postpartum hemorrhage;
prediction model
- MeSH:
Area Under Curve;
Blood Transfusion;
Calibration;
Cesarean Section;
Cohort Studies;
Discrimination (Psychology);
Early Intervention (Education);
Erythrocytes;
Female;
Humans;
Logistic Models;
Maternal Age;
Nomograms;
Placenta Previa;
Placenta;
Placentation;
Postpartum Hemorrhage;
Pregnancy;
ROC Curve;
Ultrasonography
- From:Yonsei Medical Journal
2020;61(2):154-160
- CountryRepublic of Korea
- Language:English
-
Abstract:
0.05). The area under the receiver operating characteristics curve (AUC) was 0.922 [95% confidence interval (CI) 0.89–0.95]. In external validation, the discrimination was good, with an AUC value of 0.833 (95% CI 0.70–0.92) for this model. Nomogram calibration plots indicated good agreement between the predicted and observed outcomes, exhibiting close approximation between the predicted and observed probability.CONCLUSION: We constructed a scoring model for predicting massive transfusion during cesarean section in women with placenta previa. This model may help in determining the need to prepare an appropriate amount of blood products and the optimal timing of blood transfusion.]]>
